Nabors is a leading provider of advanced technology for the energy industry. With operations in about 20 countries, Nabors has established a global network of people, technology and equipment to deploy solutions that deliver safe, efficient and responsible hydrocarbon production. By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.
Equal Opportunity Employer
Nabors is committed to providing equal employment opportunities to all employees and applicants and prohibiting discrimination and harassment of any type without regard to race, religion, age, color, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. To learn more about our Fair Employment practices, please refer to the.
Nabors is seeking summer intern for their AI - Center of Excellence team. The AI - Center of Excellence team create solutions using advanced Artificial Intelligence, Machine Learning, statistical analysis, data mining, and visual techniques in a technology driven environment. The intern will apply their data mining and statistical algorithms skills to help drive key business metrics. Learn from real life business exposure in the oil and gas industry to take your talents to the next level. Be part of the Nabors team. Internship based out of Houston, TX.
?Collecting, research and interpret data
?Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG)
?Reporting the results back to the relevant members of the business
?Identifying patterns and trends in data sets
?Working alongside teams within the business or the management team to establish business needs
?Understanding of statistics and hypothesis testing (ex. Confidence Interval, Regressions, Time Series, Clustering, Factor Analysis)
?Use predictive modeling and machine learning algorithms to solve complex problems
?Develop and maintain forecasting models and tools using frameworks such as Pytorch
?Demonstrate illustrations and visualizations of data communicating results of business impact
?Document completed work so others can understand and implement
?Able to analyze data and understand relationships and correlations
?Follows procedures and safety guidelines
QUALIFICATIONS/SKILLS
- Pursuing final year of university studies towards bachelor?s degree or recent graduate or seeking Masters/PhD in Computer Science, Mathematics, Statistics, or related coursework
- Basic understanding of the following from previous work/classes/research and/or relevant pervious jobs/internships:
- data models and reporting packages
- analyze large datasets
- write comprehensive reports
- Verbal and written communication skills
- An analytical mind and inclination for problem-solving
- Attention to detail and accuracy
- Experience with any Cloud Service like Azure, experience with cloud deployments is a plus
- Experience with Python and C++., working in Linux-based environments, Git, and ML frameworks (PyTorch/TensorFlow), Optimization frameworks (ONNX, TensorRT)
- Experience with Docker and CI/CD tools
- Ability to work in groups/teams
BEHAVIORAL COMPETENCIES
- An appreciation of commitment to safety leadership.
- Solid comprehensive problem-solving skills.
- Mechanical aptitude and troubleshooting skills.
- Ability to multitask and work well independently and in a team environment.
- Ability to generate research ideas.
TECHNICAL COMPETENCIES
- Ability to draft technical reports of projects.
- MS Office computer skills (Access, Aspen/HYSYS a plus).
PHYSICAL REQUIREMENTS / WORKING CONDITIONS
- The primary location for this position is an office environment.
- Able to lift to 20 lbs.
- Rig yard trips may be expected from time to time.
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